中圖分類號： TN06,；TP271 文獻標識碼： A DOI：10.16157/j.issn.0258-7998.191427 中文引用格式： 喬景慧,，趙校偉，何鑫達. 基于視覺的連接器特征辨識[J].電子技術(shù)應(yīng)用,，2020,，46(10)：97-101，105. 英文引用格式： Qiao Jinghui,，Zhao Xiaowei,，He Xinda. Feature identification of connector based on vision[J]. Application of Electronic Technique，2020,，46(10)：97-101,，105.
Feature identification of connector based on vision
Qiao Jinghui,，Zhao Xiaowei，He Xinda
College of Mechanical Engineering,，Shenyang University of Technology,，Shenyang 110870，China
Abstract： In the monocular vision recognition system, the measuring error of the diameter can be caused due to the different height of the workpiece. Accurate recognition of workpiece is completed by measurjing the height and diameter feature information of the workpiece. A methodology was proposed by integrating with multi-feature, that is the height and diameter feature.The length of the shadow in the specified measuring direction is measured by identifying the center of the workpiece.The size and type of the workpiece are identified by the height and diameter of the workpiece. The closed operation of morphology is used to process the image, and then the center of the workpiece is obtained. In the direction of measurement, the edge detection algorithm with Halcon package is used to detect the subpixel edge, and then the length of the shadow is obtained by post-processing. The workpiece type is determined according to combining features. A test show, the method of multi-feature combination identification of the workpiece proposed in this paper can accurately identify the characteristics of the workpiece, and this method can accurately distinguish different workpiece to complete the identification of automatic production.
Key words : monocular vision,；connector,；workpiece recognition；morphological closed operation,；Halcon
